FEMS: An Adaptive Finite Element Solver

Author

Bertoldo, Alberto

Author_Institution

Dept. of Inf. Eng., Padova Univ.

fYear

2007

fDate

26-30 March 2007

Firstpage

1

Lastpage

8

Abstract

In this paper we investigate how to obtain high-level adaptivity on complex scientific applications such as finite element (FE) simulators by building an adaptive version of their computational kernel, which consists of a sparse linear system solver. We present the software architecture of FEMS, a parallel multifrontal solver for FE applications whose main feature is an install-time training phase where adaptation to the computing platform takes place. FEMS relies on a simple model-driven mesh partitioning strategy, which makes it possible to perform efficient static load balancing on both homogeneous and heterogeneous machines.

Keywords

mesh generation; natural sciences computing; operating system kernels; resource allocation; software architecture; sparse matrices; adaptive finite element solver; complex scientific applications; computational kernel; install-time training phase; model-driven mesh partitioning strategy; parallel multifrontal solver; software architecture; sparse linear system solver; static load balancing; Application software; Assembly; Computational modeling; Computer architecture; Concurrent computing; Distributed computing; Finite element methods; Iterative methods; Linear systems; Matrix decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International

Conference_Location

Long Beach, CA

Print_ISBN

1-4244-0910-1

Electronic_ISBN

1-4244-0910-1

Type

conf

DOI

10.1109/IPDPS.2007.370569

Filename

4228297